Does Energy Consumption Respond to Price Shocks? Evidence from a Regression-Discontinuity Design
AbstractThis paper exploits unique features of a recently introduced tariff schedule for natural gas in Buenos Aires to estimate the short-run impact of price shocks on residential energy utilization. The schedule induces a non-linear and nonmonotonic relationship between households’ accumulated consumption and unit prices, thus generating an exogenous source of variation in perceived prices, which is exploited in a regression-discontinuity design. The estimates reveal that a price increase in the utility bill received by consumers causes a substantial and prompt decline in gas consumption. Hence they suggest that policy interventions via the price mechanism, such as price caps and subsidies, are powerful instruments to influence residential energy utilization patterns, even within a short time span.
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Bibliographic InfoPaper provided by Inter-American Development Bank, Research Department in its series Research Department Publications with number 4702.
Date of creation: Jan 2011
Date of revision:
Energy consumption; Elasticity of demand; Regulation of public utilities; Regression discontinuity design; Public policy;
Other versions of this item:
- Bastos, Paulo & Castro, Lucio & Cristia, Julian & Scartascini, Carlos, 2014. "Does energy consumption respond to price shocks ? evidence from a regression-discontinuity design," Policy Research Working Paper Series 6785, The World Bank.
- Paulo Bastos & Lucio Castro & Julian P. Cristia & Carlos Scartascini, 2011. "Does Energy Consumption Respond to Price Shocks?: Evidence from a Regression-Discontinuity Design," IDB Publications 37698, Inter-American Development Bank.
- L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-02-05 (All new papers)
- NEP-ENE-2011-02-05 (Energy Economics)
- NEP-REG-2011-02-05 (Regulation)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lucas W. Davis & Erich Muehlegger, 2010.
"Do Americans consume too little natural gas? An empirical test of marginal cost pricing,"
RAND Journal of Economics,
RAND Corporation, vol. 41(4), pages 791-810.
- Lucas W. Davis & Erich Muehlegger, 2010. "Do Americans Consume Too Little Natural Gas? An Empirical Test of Marginal Cost Pricing," NBER Working Papers 15885, National Bureau of Economic Research, Inc.
- Lee, David S. & Card, David, 2008.
"Regression discontinuity inference with specification error,"
Journal of Econometrics, Elsevier,
Elsevier, vol. 142(2), pages 655-674, February.
- David S. Lee & David Card, 2006. "Regression Discontinuity Inference with Specification Error," NBER Technical Working Papers 0322, National Bureau of Economic Research, Inc.
- David S. Lee & Thomas Lemieux, 2009.
"Regression Discontinuity Designs In Economics,"
1118, Princeton University, Department of Economics, Industrial Relations Section..
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2007.
"Bootstrap-Based Improvements for Inference with Clustered Errors,"
NBER Technical Working Papers
0344, National Bureau of Economic Research, Inc.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
- Doug Miller & A. Colin Cameron & Jonah B. Gelbach, 2006. "Bootstrap-Based Improvements for Inference with Clustered Errors," Working Papers 621, University of California, Davis, Department of Economics.
- Guido Imbens & Thomas Lemieux, 2007.
"Regression Discontinuity Designs: A Guide to Practice,"
NBER Technical Working Papers
0337, National Bureau of Economic Research, Inc.
- Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, Elsevier, vol. 142(2), pages 615-635, February.
- Guido Imbens & Thomas Lemieux, 2007. "Regression Discontinuity Designs: A Guide to Practice," NBER Working Papers 13039, National Bureau of Economic Research, Inc.
- Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
- Peter C. Reiss & Matthew W. White, 2008. "What changes energy consumption? Prices and public pressures," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 636-663.
- Bushnell, James & Mansur, Erin T., 2005. "Consumption Under Noisy Price Signals: A Study of Electricity Retail Rate Deregulation in San Diego," Staff General Research Papers 13142, Iowa State University, Department of Economics.
- Hausmann, J. A. & Kinnucan, M. & McFaddden, D., 1979. "A two-level electricity demand model : Evaluation of the connecticut time-of-day pricing test," Journal of Econometrics, Elsevier, Elsevier, vol. 10(3), pages 263-289, August.
- Caves, Douglas W. & Christensen, Laurits R., 1980. "Econometric analysis of residential time-of-use electricity pricing experiments," Journal of Econometrics, Elsevier, Elsevier, vol. 14(3), pages 287-306, December.
- Liu, Lon-Mu & Lin, Maw-Wen, 1991. "Forecasting residential consumption of natural gas using monthly and quarterly time series," International Journal of Forecasting, Elsevier, Elsevier, vol. 7(1), pages 3-16, May.
- Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 853-883.
- Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-98, November.
- Krichene, Noureddine, 2002. "World crude oil and natural gas: a demand and supply model," Energy Economics, Elsevier, Elsevier, vol. 24(6), pages 557-576, November.
- Gerard, Francois, 2013. "What Changes Energy Consumption, and for How Long? New Evidence from the 2001 Brazilian Electricity Crisis," Discussion Papers, Resources For the Future dp-13-06, Resources For the Future.
- W. D. Gregori, 2014. "Fiscal Rules and Public Spending: Evidence from Italian Municipalities," Working Papers wp923, Dipartimento Scienze Economiche, Universita' di Bologna.
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